Evaluation of fatigue damage and healing of asphalt mastics for different filler contents
Bibliographic record
Abstract
Fatigue damage and healing are two very important characteristics for designing asphalt concrete (AC). Fatigue damage degrades material properties, whereas healing recovers the material properties at rest periods after damage. Mastic is a blend of asphalt binder and fine aggregates (fillers) and is a component of AC composite. Fatigue damage and healing mostly occur in the asphalt binder and mastic. This study evaluates the effect of the fines and binder grade of mastic on the fatigue damage and healing of mastic. A total of six mastics (with different binder grade and asphalt–filler ratio) are tested to determine fatigue damage and healing. It is found that fatigue resistance increases up to the addition of 20% fines in the mastic. Addition of fines more than 20% decreases the fatigue resistance. A physicochemical model is used to predict healing in mastic. Healing decreases with the addition of fines in the binder and higher binder grade.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".